Statements (67)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software_framework
|
| gptkbp:can_be_extended_by |
custom backends
|
| gptkbp:can_be_used_with |
other libraries
multiple nodes |
| gptkbp:developed_by |
gptkb:Facebook_AI_Research
|
| gptkbp:enables |
multi-GPU training
|
| gptkbp:facilitates |
asynchronous training
synchronous training |
| gptkbp:has |
active community
|
| https://www.w3.org/2000/01/rdf-schema#label |
Torch Distributed
|
| gptkbp:includes |
torch.distributed package
|
| gptkbp:integrates_with |
gptkb:Py_Torch
|
| gptkbp:is_available_on |
gptkb:smartphone
gptkb:operating_system |
| gptkbp:is_compatible_with |
gptkb:NCCL
gptkb:CUDA Gloo |
| gptkbp:is_designed_for |
gptkb:benchmark
flexibility scalability |
| gptkbp:is_documented_in |
Py Torch documentation
|
| gptkbp:is_integrated_with |
gptkb:lake
gptkb:fortification |
| gptkbp:is_optimized_for |
high-performance computing
|
| gptkbp:is_part_of |
deep learning frameworks
AI research tools ML frameworks Py Torch ecosystem |
| gptkbp:is_supported_by |
tutorials
community contributions example codes |
| gptkbp:is_used_by |
gptkb:physicist
data scientists machine learning engineers |
| gptkbp:is_used_for |
computer vision
hyperparameter tuning natural language processing time series analysis model evaluation reinforcement learning image classification object detection transfer learning anomaly detection semantic segmentation adversarial training large-scale training collaborative training graph neural networks generative models federated learning style transfer distributed machine learning |
| gptkbp:is_used_in |
cloud environments
research projects production systems on-premise environments |
| gptkbp:offers |
fault tolerance
|
| gptkbp:provides |
tensor operations
collective communication operations communication primitives |
| gptkbp:supports |
data parallelism
RPC framework model parallelism mixed precision training |
| gptkbp:bfsParent |
gptkb:Distributed_Data_Parallel
|
| gptkbp:bfsLayer |
5
|